scholarly journals The relationship between electricity consumption and improvement in women's welfare in Africa

2022 ◽  
Vol 90 ◽  
pp. 102541
Author(s):  
Ambe J. Njoh ◽  
Erick Ananga ◽  
Ijang B. Ngyah-Etchutambe ◽  
Faye Ricker ◽  
Ramona Madosingh-Hector ◽  
...  
Keyword(s):  
Electricity Consumption ◽  
Women's Welfare ◽  
The Relationship

Electricity consumption and economic growth in ASEAN

2017 ◽  
Vol 5 (2) ◽  
pp. 16
Author(s):  
Ahmad Ghazali Ismail ◽  
Arlinah Abd Rashid ◽  
Azlina Hanif
Keyword(s):  
Economic Growth ◽  
Energy Use ◽  
Electricity Consumption ◽  
Panel Estimation ◽  
Real Gdp ◽  
Long Run ◽  
Bidirectional Relationship ◽  
Short Run ◽  
Using Data ◽  
The Relationship

The relationship and causality direction between electricity consumption and economic growth is an important issue in the fields of energy economics and policies towards energy use. Extensive literatures has discussed the issue, but the array of findings provides anything but consensus on either the existence of relations or direction of causality between the variables. This study extends research in this area by studying the long-run and causal relations between economic growth, electricity consumption, labour and capital based on the neo-classical one sector aggregate production technology mode using data of electricity consumption and real GDP for ASEAN from the year 1983 to 2012. The analysis is conducted using advanced panel estimation approaches and found no causality in the short run while in the long-run, the results indicate that there are bidirectional relationship among variables. This study provides supplementary evidences of relationship between electricity consumption and economic growth in ASEAN.

scholarly journals Unlocking Household Electricity Consumption in Pakistan

Buildings ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 566
Author(s):  
Khuram Pervez Amber ◽  
Rizwan Ahmad ◽  
Mina Farmanbar ◽  
Muhammad Anser Bashir ◽  
Sajid Mehmood ◽  
...  
Keyword(s):  
Power Supply ◽  
Electricity Consumption ◽  
Consumption Patterns ◽  
Policy Makers ◽  
Residential Sector ◽  
Average Family Size ◽  
Research Findings ◽  
Conclusion Section ◽  
The Impact ◽  
The Relationship

In Pakistan, data for household electricity consumption are available in the form of monthly electricity bills only, and, therefore, are not helpful in establishing appliance-wise consumption. Further, it does not help in establishing the relationship among the household electricity consumption and various driving factors. This study aimed to unlock the household electricity consumption in Pakistan by analyzing electricity bills and investigating the impact of various socioeconomic, demographic, and dwelling parameters and usage of different appliances. The methodology adopted in this study was survey-based data collection of the residential sector. For this purpose, data were collected from 523 dwellings through surveys and interviews in Mirpur city. The results of the data analysis revealed that the average household electricity consumption is 2469 kWh/year with an average family size of seven and an average floor area of 78.91 m2. Based on possession of various appliances, the households were categorized into four types and their consumption patterns were established and compared. Air Conditioned (AC) houses consume 44% more electricity compared to the non-AC houses, whereas an Uninterrupted Power Supply (UPS) consumes electricity equivalent to an AC. The research findings are useful for policy makers and building designers and are discussed in the conclusion section.

scholarly journals THE RELATIONSHIP BETWEEN ELECTRICITY CONSUMPTION AND ECONOMIC GROWTH: EVIDENCE FROM AZERBAIJAN

2020 ◽  
Vol 10 (1) ◽  
pp. 436-455 ◽  
Author(s):  
Sugra Ingilab Humbatova ◽  
Fariz Saleh Ahmadov ◽  
İlgar Zulfigar Seyfullayev ◽  
Natig Gadim-Ogli Hajiyev
Keyword(s):  
Economic Growth ◽  
Electricity Consumption ◽  
The Relationship

scholarly journals Photovoltaic Output Power Estimation and Baseline Prediction Approach for a Residential Distribution Network with Behind-the-Meter Systems

Forecasting ◽  
2020 ◽  
Vol 2 (4) ◽  
pp. 470-487
Author(s):  
Keda Pan ◽  
Changhong Xie ◽  
Chun Sing Lai ◽  
Dongxiao Wang ◽  
Loi Lei Lai
Keyword(s):  
Output Power ◽  
Least Squares Method ◽  
Distribution Network ◽  
Electricity Consumption ◽  
Power Estimation ◽  
Solar Irradiation ◽  
Residential Distribution ◽  
Net Load ◽  
Prediction Approach ◽  
The Relationship

Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a great challenge to implement effective demand response projects and make a precise customer baseline (CBL) prediction. To solve the problem, this paper proposes a data-driven PV output power estimation approach using only net load data, temperature data, and solar irradiation data. We first obtain the relationship between delta actual load and delta temperature by calculating the delta net load from matching the net load of irradiation for an approximate day with the least squares method. Then we match and make a difference of the net load with similar electricity consumption behavior to establish the relationship between delta PV output power and delta irradiation. Finally, we get the PV output power and implement PV-load decoupling by modifying the relationship between delta PV and delta irradiation. The case studies verify the effectiveness of the approach and it provides an important reference to perform PV-load decoupling and CBL prediction in a residential distribution network with BTM PV systems.

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